esg-and-sustainability-finance
Integrate ESG and sustainability considerations into finance — measurement, reporting, investment cases, and risk — with appropriate rigor. Use when supporting sustainability reporting, green investment cases, or ESG-linked financing.
- License 许可
- MIT
- 最近更新
- 2026-07-22
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- esg-and-sustainability-finance
- description
- Integrate ESG and sustainability considerations into finance — measurement, reporting, investment cases, and risk — with appropriate rigor. Use when supporting sustainability reporting, green investment cases, or ESG-linked financing.
03 SKILL.md 正文
ESG and Sustainability Finance
Overview
ESG finance connects environmental, social, and governance factors to measurement, capital allocation, and disclosure. Rigor matters; greenwash destroys trust.
When to Use
- Sustainability metric and report support
- ESG-linked loans or bonds
- Capex cases with climate or social impacts
- Investor ESG questionnaires
Core Practices
- Define material ESG topics for the business
- Establish measurable KPIs with owners and data sources
- Apply same control mindset as financial reporting where disclosed
- Evaluate investments with both financial and impact lenses when claimed
- Align disclosures to relevant frameworks carefully
Principles
- Materiality first — don’t measure everything
- Claims require evidence
- Finance’s role is integrity of numbers and capital trade-offs
- Regulatory expectations are rising; stay current with advisors
Verification
- [ ] Material topics and metrics are defined
- [ ] Data quality matches disclosure ambition
- [ ] Financial implications of ESG commitments are modeled
04 同仓库更多 Skills
compliance-monitoring
Design compliance monitoring and testing programs that verify controls work in practice and surface issues before regulators do. Use when building monitoring plans, compliance testing, or continuous control monitoring.
complaints-handling
Operate complaints-handling processes that meet regulatory standards — logging, timely resolution, root-cause analysis, and fair outcomes. Use when designing or improving regulated complaints frameworks or analyzing complaint themes for conduct risk.
aml-kyc-basics
Apply AML/KYC fundamentals — customer due diligence, monitoring, suspicious activity escalation, and recordkeeping — for financial crime compliance. Use when designing onboarding controls, transaction monitoring concepts, or AML program components in financial services.
ai-model-compliance
Apply compliance controls to AI and automated decision systems — transparency, fairness, human oversight, documentation, and regulatory alignment. Use when deploying AI in regulated processes (credit, fraud, customer decisions) or responding to AI governance expectations.
data-quality-management
Manage data quality end-to-end — dimensions, rules, remediation, and prevention — beyond one-off cleaning scripts. Use when building sustained data quality programs or fixing systemic accuracy, completeness, or consistency problems.
data-lineage
Capture and use data lineage — where data comes from, how it transforms, and what depends on it — for impact analysis, debugging, and trust. Use when tracing metric origins, assessing change impact, or diagnosing broken pipelines.